Agent skill · Documentation

tech-research-skill-builder

Research latest library documentation, industry best practices, and technical knowledge to automatically generate project-level skills. Use when asked to: (1) Research and create a skill for a library/framework, (2) Build a skill based on architectural patterns, (3) Generate skills from technical research, (4) Create domain-specific technical skills from web research, or (5) Any request combining research with skill creation.

majiayu000github.com/majiayu000GitHub ↗
claude-codeMIT
Install
npx skills add majiayu000/claude-skill-registry --skill rajvermacas-development-setup-claude-skills-tech-research-skill --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 8 KB
Bundled scripts: none
Path: skills/analysis/rajvermacas-development-setup-claude-skills-tech-research-skill/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 534
Language: HTML

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Tech Research Skill Builder Automatically research technical topics and generate comprehensive project-level skills with the latest documentation and best practices. ## Overview This skill enables automated creation of project-level skills through web research. It: 1. Conducts comprehensive web research on specified technical topics 2. Gathers library documentation, best practices, and code examples 3. Structures findings into an organized skill format 4. Generates a complete, ready-to-use skill package ## Workflow ### Step 1: Parse Request and Plan Research When a user requests skill creation, identify: - **Topic**: The library, framework, or technical domain to research - **Scope**: What aspects to cover (API docs, patterns, best practices) - **Output location**: Where to create the skill (default: `.claude/skills`) ### Step 2: Execute Comprehensive Research Conduct research across four categories: #### 1. Library Documentation Search for: - Official documentation (latest version) - API references and method signatures - Getting started guides - Migration guides **Example searches:** - `[topic] official documentation 2025` - `[topic] API reference latest` - `[topic] getting sta

What's inside
Steps it walks through
  1. Overview
  2. Workflow
  3. Step 1: Parse Request and Plan Research
  4. Step 2: Execute Comprehensive Research
  5. Step 3: Structure Research Data
  6. Step 4: Generate Skill Package
  7. Step 5: Validate and Package
  8. Example Usage
  9. Example 1: Library-Specific Skill
  10. Example 2: Architectural Pattern Skill
  11. Example 3: Domain-Specific Technical Skill
  12. Quality Criteria
  13. Research Depth Guidelines
  14. Troubleshooting
Ships with 1 file
  • metadata.json
Commands it runs
python .claude/skills/tech-research-skill-builder/scripts/generate_skill.py \
python /root/.claude/skills/skill-creator/scripts/quick_validate.py \
python /root/.claude/skills/skill-creator/scripts/package_skill.py \
More from claude-skill-registry
All skills →
About this skill
What does the tech-research-skill-builder skill do?

Research latest library documentation, industry best practices, and technical knowledge to automatically generate project-level skills. Use when asked to: (1) Research and create a skill for a library/framework, (2) Build a skill based on architectural patterns, (3) Generate skills from technical research, (4) Create domain-specific technical skills from web research, or (5) Any request combining research with skill creation.

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill rajvermacas-development-setup-claude-skills-tech-research-skill --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going